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CellSage is an advanced software platform designed to model, simulate, and analyze battery health. Developed over a decade, it offers deep insights into battery aging and performance, vital for industries focused on precise battery diagnostics. With its powerful combination of data-driven, physics-based, and hybrid modeling, CellSage ensures accurate assessments of battery life under real-world conditions. It features an intuitive interface, a vast battery library, and advanced diagnostic tools, making it a comprehensive solution for analyzing capacity fade and optimizing thermal management. By integrating real-time diagnostics with Condition-Based Maintenance (CBM) and Prognostic Health Management (PHM), CellSage aids in enhancing vehicle reliability and extending battery life. Ideal for applications such as Electric Vehicles and Unmanned Aerial Systems, the platform supports collaboration with industry leaders and academia for the integration into Battery Management Systems. Its customizable design features allow adaptation to specific deployment scenarios, ensuring maximum operational efficiency.
The Advanced Electrolyte Model (AEM) is a pioneering molecular simulation tool focused on optimizing electrolyte chemistry. Developed by Idaho National Laboratory and exclusively available through Ridgetop Group, AEM serves as a virtual lab, generating more than 100 property metrics per run for comprehensive electrolyte behavior analysis. AEM's robust scientific underpinnings are based on advanced theories like the Nonprimitive, Nonrestricted Associated Mean Spherical Approximation and an ion-solvation equation of state. Its predictions have been validated across numerous systems, often aligning closely with laboratory data. This precision enables users to make informed choices, significantly cutting down research and development costs. The model supports diverse applications such as electric vehicle manufacturing and lithium-ion battery development. Beyond science, AEM is instrumental in steering the shift towards sustainable energy solutions, making it a key asset in advancing battery technology and enhancing global energy efficiency.
Sentinel Motion for Rail is an IoT-based sensor system designed specifically for monitoring mission-critical railway equipment. Originally developed for helicopter gearboxes, this technology has been adapted to offer comprehensive monitoring of track, wheels, and bearings, highlighting its versatility. The system includes RotoSense smart sensors, the Sentinel Gateway, and Sentinel MotionView software, providing a continuous remote monitoring solution. It effectively replaces traditional wayside detection equipment by offering automated alerts for abnormal conditions. This approach significantly reduces railway operating expenses by preventing failures. Field tests, such as those conducted at the Transportation Technology Center, prove Sentinel Motion's viability and effectiveness in characterizing track infrastructure and detecting faults. This system's real-time data processing capabilities and secure IoT communication enhance safety and operational efficiency in the rail industry.
Adaptive Remaining Useful Life Estimator (ARULE) is a sophisticated tool designed for predictive analytics in complex systems. It accurately estimates prognostic quantities such as Remaining Useful Life (RUL), State-of-Health (SoH), and Prognostic Horizon (PH) by processing condition-based feature data. This allows maintenance teams to preemptively schedule repairs, reducing the risk of operational failures. ARULE leverages advanced prediction methods linked to Extended Kalman Filtering, making it versatile across electrical, mechanical, and electro-mechanical systems. ARULE's intuitive graphical user interface (GUI) supports Condition-based Maintenance (CBM), Prognostic Health Management (PHM), and Integrated Vehicle Health Management (IVHM) applications. Users can easily upload and process condition-based data (CBD) to generate essential prognostics, which help in evidence-based system replacements. This approach streamlines maintenance, reduces costs, and promotes system reliability. This estimator is part of the broader Sentinel Suite solution from Ridgetop Group, which integrates seamlessly with other components like sensors and application software. ARULE's utility is wide-ranging, applicable in power supply systems, battery management, industrial automation, and more, making it a cornerstone of effective health management strategies.
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